Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Feng, Siyuan
Whitman, Eric
Xinjilefu, X.
and
Atkeson, Christopher G.
2015.
Optimization‐based Full Body Control for the DARPA Robotics Challenge.
Journal of Field Robotics,
Vol. 32,
Issue. 2,
p.
293.
He, Bin
Lu, Qiang
and
Wang, Zhipeng
2015.
Coupling effect analysis between the central nervous system and the CPG network with proprioception.
Robotica,
Vol. 33,
Issue. 6,
p.
1281.
Lu, Qiang
and
Tian, Juan
2015.
Research on Walking Gait of Biped Robot Based on a Modified CPG Model.
Mathematical Problems in Engineering,
Vol. 2015,
Issue. ,
p.
1.
Taghvaei, Sajjad
and
Vatankhah, Ramin
2016.
Detection of Unstable Periodic Orbits and Chaos Control in a Passive Biped Model.
Iranian Journal of Science and Technology, Transactions of Mechanical Engineering,
Vol. 40,
Issue. 4,
p.
303.
Hong, Young-Dae
Lee, Ki-Baek
and
Lee, Bumjoo
2016.
Dynamic Simulation of Modifiable Walking Pattern Generation to Handle Infeasible Navigational Commands for Humanoid Robots.
Journal of Electrical Engineering and Technology,
Vol. 11,
Issue. 3,
p.
751.
Reist, Philipp
Preiswerk, Pascal
and
Tedrake, Russ
2016.
Feedback-motion-planning with simulation-based LQR-trees.
The International Journal of Robotics Research,
Vol. 35,
Issue. 11,
p.
1393.
Spedicato, Sara
and
Notarstefano, Giuseppe
2017.
An optimal control approach to the design of periodic orbits for mechanical systems with impacts.
Nonlinear Analysis: Hybrid Systems,
Vol. 23,
Issue. ,
p.
111.
Liu, Libin
and
Hodgins, Jessica
2017.
Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning.
ACM Transactions on Graphics,
Vol. 36,
Issue. 4,
p.
1.
Liu, Libin
and
Hodgins, Jessica
2017.
Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning.
ACM Transactions on Graphics,
Vol. 36,
Issue. 3,
p.
1.
Da, Xingye
Hartley, Ross
and
Grizzle, Jessy W.
2017.
Supervised learning for stabilizing underactuated bipedal robot locomotion, with outdoor experiments on the wave field.
p.
3476.
Xu, Ke
Timmermann, Julia
and
Trächtler, Ansgar
2017.
Swing-up of the moving double pendulum on a cart with simulation based LQR-Trees.
IFAC-PapersOnLine,
Vol. 50,
Issue. 1,
p.
4094.
Embry, Kyle R.
Villarreal, Dario J.
Macaluso, Rebecca L.
and
Gregg, Robert D.
2018.
Modeling the Kinematics of Human Locomotion Over Continuously Varying Speeds and Inclines.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Vol. 26,
Issue. 12,
p.
2342.
Da, Xingye
and
Grizzle, Jessy
2019.
Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots.
The International Journal of Robotics Research,
Vol. 38,
Issue. 9,
p.
1063.
Mansouri, Saeed
Sadigh, Mohammad Jafar
and
Fazeli, Masoud
2019.
A computationally efficient algorithm to find time-optimal trajectory of redundantly actuated robots moving on a specified path.
Robotica,
Vol. 37,
Issue. 1,
p.
62.
Sayari, Mohamed A.
Zaier, Riadh
and
Masmoudi, Neila
2019.
Perfect tracking of ZMP trajectory for humanoid locomotion using repetitive control.
Journal of Mechanical Science and Technology,
Vol. 33,
Issue. 12,
p.
6037.
Horn, Jonathan C.
Mohammadi, Alireza
Hamed, Kaveh Akbari
and
Gregg, Robert D.
2020.
Nonholonomic Virtual Constraint Design for Variable-Incline Bipedal Robotic Walking.
IEEE Robotics and Automation Letters,
Vol. 5,
Issue. 2,
p.
3691.
Rosa, Nelson
and
Lynch, Kevin M.
2022.
A Topological Approach to Gait Generation for Biped Robots.
IEEE Transactions on Robotics,
Vol. 38,
Issue. 2,
p.
699.
Fejlek, Jiří
and
Ratschan, Stefan
2024.
Computation of feedback control laws based on switched tracking of demonstrations.
European Journal of Control,
Vol. 80,
Issue. ,
p.
101118.